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Camelidae 8x7B by hywu

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  1413   
  Arxiv:1902.00751   Arxiv:2212.05055   Arxiv:2305.14314   Arxiv:2401.02731   Autotrain compatible   Camelidae   Custom code Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   Dataset:meta-math/metamathqa   Dataset:open-orca/slimorca   En   Endpoints compatible   Instruct   Moe   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/hywu/Camelidae-8x7B 

Camelidae 8x7B Benchmarks

ARC: 55.63 vs 96.7 (so35)-42.5%
HellaSwag: 79.18 vs 95.3 (gpt4)-16.9%
MMLU: 50.1 vs 88.3 (so35)-43.3%
TruthfulQA: 42.86 vs 59 (gpt4)-27.4%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 22.82 vs 96.4 (so35)-76.3%
LLME Score: 0.17234
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Camelidae 8x7B (hywu/Camelidae-8x7B)
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Camelidae 8x7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, General Tasks
Training Details 
Data Sources:
Open-Orca/SlimOrca, ise-uiuc/Magicoder-OSS-Instruct-75K, ise-uiuc/Magicoder-Evol-Instruct-110K, meta-math/MetaMathQA
Methodology:
Parameter-Efficient Sparsity Crafting utilizing MoE structure, QLoRA, and Adapter.
Model Architecture:
Mixture-of-Experts (MoE) based on LLaMA architecture.
Release Notes 
Version:
Qwen2idae-16x14B-v1.0
Date:
2024-03-12
Notes:
Release on Hugging Face with strong Math and Code performance.
Version:
sparsetral-16x7B-v2
Date:
2024-02-07
Notes:
Supports faster and memory efficient training with unsloth for Parameter-Efficient Sparsity Crafting.
LLM NameCamelidae 8x7B
Repository 🤗https://huggingface.co/hywu/Camelidae-8x7B 
Required VRAM15.6 GB
Updated2025-09-29
Maintainerhywu
Model Typecamelidae
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   5.7 GB: 2-of-2
Supported Languagesen
Model Architecturemodeling_camelidae.LlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Camelidae 8x7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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